Dissertation > Excellent graduate degree dissertation topics show

The Study on the Algorithm of Visible and Infrared Image Fusion Based on the Quality of Source Images

Author: JinZuoZuo
Tutor: ZuoXiangYang
School: Xi'an University of Science and Technology
Course: Applied Mathematics
Keywords: Image quality assessment Image registration Image fusion Visible image Infrared image
CLC: TP391.41
Type: Master's thesis
Year: 2013
Downloads: 81
Quote: 0
Read: Download Dissertation

Abstract


Image fusion is the process of obtaining a comprehensive image, in whichcomplementary or redundant information of the different sensors’ images is processed. Imagefusion can improve the clarity and identifiability of the source images, and enrich thedescription of the scene. Image fusion is widely used in military, medicine, geology, weatherforecast, artificial intelligence and other fields. Visible image has rich texture information andhigh resolution, but it is constrained by the light conditions. While infrared image has highanti-interference ability, especially in the night and bad weather, but the resolution is low andthe edges are fuzzy. The visible images and infrared images’ features are distinct, but at thesame time, they have strong complementarity. Therefore the study of visible image andinfrared image fusion has important practical significance, and it is also a hot spot in the fieldof image fusion. The main work includes:(1) Image registration is the premise of image fusion. As for pixel registration, and theregistration process does not have mark of the features, image registration algorithm based onHarris corner detection is put forward. Firstly, two test images’ feature points are obtainedusing the Harris corner detection algorithm. With the corresponding feature points coordinates,the transformation relation between the two test images is solved, after resampling,interpolation and denoising of the experimental image, the experimental registration image iscompared and analyzed with the reference image. The experimental results show that theexperimental images’ registration effect is good.(2) The current problems in image fusion algorithm are analyzed, and the algorithm ofvisible and infrared image considering the quality of source images is put forward. Based onthe theory of image fusion, the image quality assessment method is introduced, and the basic framework of image fusion considering the quality of source images is constructed.(3) The comentropy in image local weight is as the visible and infrared source imagesquality assessment index, the assessment results are as the weights coefficients of wavelettransform for image fusion, and the average gray, standard deviation, entropy, spatialfrequency are as the indexes of the fused image quality assessment. The algorithm of thevisible and infrared image fusion based on the comentropy in image local weight is proposed.In the end, several groups of visible and infrared images are experimented. The algorithm ofvisible and infrared image fusion considering the quality of source images is completelyfeasible and available.

Related Dissertations

  1. Research of Image Mosaic Technology,TP391.41
  2. Research on Joint Target Detection for Dual-Sensor Image and System Implementation,TP391.41
  3. Space Infrared Target Simulation and Application of Target Trace,TP391.41
  4. Multi-source image fusion technology research,TP391.41
  5. Research on Panorama Stitching Based on Speeded Up Robust Features,TP391.41
  6. Research on Image Fusion Algorithm Using Lifting-scheme Wavelet,TP391.41
  7. Investigation on Characteristics of Staring Lidar System,TN958.98
  8. Infrared and visible image registration and fusion research,TP391.41
  9. Feature points based spatial information distribution histogram matching method,TP391.41
  10. CT and ultrasound data registration studies and implementation,TP391.41
  11. Visible and infrared image fusion algorithm,TP391.41
  12. Research on Ground-Based SFCW SAR Differential Interferometry Techniques,TN957.52
  13. Concealed Weapon Detection Research Based on Image Fusion,TP391.41
  14. Incremental Updating of Remote Sensing Data Based on the Changed Image Blocks,P237
  15. Research on Blind Super-Resolution Algorithms for Image and Video,TP391.41
  16. Research on Image Fusion Technology of CT and MRI,TP391.41
  17. Polarimetric SAR coherent information on registration and change detection algorithm,TN957.52
  18. Research and Implementation of Distributed Image Fusion System,TP391.41
  19. Study on Registration of SAR Image and Optical Image,TN957.52
  20. SAR image denoising and fusion based on multiscale geometric analysis,TN957.52
  21. Research on Surface Deformation Detecting by D-InSAR,TN957.51

CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
© 2012 www.DissertationTopic.Net  Mobile